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qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
65 vs 89
Hardware Fit
92 vs 95
Quality Score
54 vs 87

Hardware

qwen2.5:1.5b qwen/qwen3-8b
MachineiMacMac mini
CPUIntel Core™ i7-4771Apple M4 Pro
Cores814
RAM32 GB64 GB
GPUNVIDIA GeForce GTX 780MApple M4 Pro
OSmacOS 15.7.3macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:1.5b qwen/qwen3-8b
Tokens/sec19.633.4
First chunk690 ms257 ms
TTFT690 ms257 ms
Load time21.4 sN/A
Memory usage1.0 GB4.3 GB
Memory %3%7%

HW Fit Score Breakdown

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
Memory
30/30

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen2.5:1.5b details | View qwen/qwen3-8b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest